research
∙
07/30/2023
SR-R^2KAC: Improving Single Image Defocus Deblurring
We propose an efficient deep learning method for single image defocus de...
share
research
∙
06/24/2023
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective
Graph neural networks (GNNs) have pioneered advancements in graph repres...
research
∙
05/30/2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
The multi-criteria (MC) recommender system, which leverages MC rating in...
research
∙
04/25/2023
Node Feature Augmentation Vitaminizes Network Alignment
Network alignment (NA) is the task of discovering node correspondences a...
research
∙
02/28/2023
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Spatial objects often come with textual information, such as Points of I...
research
∙
02/28/2023
Weighted Sampling for Masked Language Modeling
Masked Language Modeling (MLM) is widely used to pretrain language model...
research
∙
08/23/2022
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation
Network alignment (NA) is the task of discovering node correspondences a...
research
∙
08/12/2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Heterogeneous graphs, which contain nodes and edges of multiple types, a...
research
∙
07/09/2022
Improved Binary Forward Exploration: Learning Rate Scheduling Method for Stochastic Optimization
A new gradient-based optimization approach by automatically scheduling t...
research
∙
07/06/2022
BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization
In this paper, a new gradient-based optimization approach by automatical...
research
∙
06/18/2022
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
We all depend on mobility, and vehicular transportation affects the dail...
research
∙
04/19/2022
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Knowledge graph (KG) plays an increasingly important role in recommender...
research
∙
02/03/2022
Machine Learning Solar Wind Driving Magnetospheric Convection in Tail Lobes
To quantitatively study the driving mechanisms of magnetospheric convect...
research
∙
01/26/2022
On the Power of Gradual Network Alignment Using Dual-Perception Similarities
Network alignment (NA) is the task of finding the correspondence of node...
research
∙
10/21/2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
We propose an approach for inverse reinforcement learning from hetero-do...
research
∙
09/05/2021
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Community detection, aiming to group the graph nodes into clusters with ...
research
∙
07/28/2021
Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)
The repairing work of terracotta warriors in Emperor Qinshihuang Mausole...
research
∙
07/28/2021
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
The existing 3D deep learning methods adopt either individual point-base...
research
∙
04/30/2021
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
We present a new convolutional neural network, called Multi Voxel-Point ...
research
∙
04/12/2021
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding
We study the problem of embedding edgeless nodes such as users who newly...
research
∙
12/01/2020
SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods
In this paper, we present a seed-region-growing CNN(SRG-Net) for unsuper...
research
∙
10/29/2020
On Efficient and Scalable Time-Continuous Spatial Crowdsourcing – Full Version
The proliferation of advanced mobile terminals opened up a new crowdsour...
research
∙
07/16/2020
Inductive Link Prediction for Nodes Having Only Attribute Information
Predicting the link between two nodes is a fundamental problem for graph...
research
∙
02/15/2020
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
Due to the outstanding capability of capturing underlying data distribut...
research
∙
09/04/2018
